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生物质资源减碳化利用需求及影响机理实证研究——基于SEM模型分析方法和TAM理论分析框架 被引量:32

Farmer Demand for the Low-Carbon Utilization of Biomass
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摘要 与先前主要研究生物质资源文献不同的是,本文首先提出了"生物质资源减碳化利用"这一概念,并引入TAM理论分析框架,应用SEM模型分析方法,从微观农户视角探讨其对生物质资源减碳化利用需求及影响机理。本文证实了感知有用性、感知易用性和便利条件对农户生物质资源减碳化利用需求具有经济意义上的显著影响,其标准化路径系数分别为0.060、0.213、0.141,社会影响则通过感知易用性的中介作用而对农户生物质资源减碳化利用需求产生间接的正向影响。本文同时还发现,便利条件、感知易用性对感知有用性具有显著正向影响。这意味着,突破既有限定,发挥生物质资源减碳化利用的福利效应,需政府、农户共同努力。 Global climate warming has become the most serious environmental problem globally. The improper disposal of animal manure, crop straw, chaff and other biomass has become a source of greenhouse gases of interest. This study is based on field research conducted in Wuhan and Suizhou in Hubei province. A SEM model is used to analyze the demand for the low-carbon utilization of biomass from the perspective of micro-farmers and four factors (perceived usefulness, perceived ease of use, social influence and facilitating conditions). We found that perceived usefulness, perceived ease of use and facilitating conditions impact farmer demand for the low-carbon utilization of biomass. Perceived usefulness and perceived ease of use belong to inner psychological factors promoting farmer demand, while social influence and facilitating conditions are the key external factors driving demand. Our findings indicate a need for joint effort between government and farmers to break exiting restrictions and take advantage of the benefits of biomass. From the point of view of government, constructing technical synthesis and integration matching low-carbon utilization of biomass is a key. Leveraging the incentive role of government subsidies and the exemplary role of opinion leaders and acquaintances in rural areas is also recommended.
出处 《资源科学》 CSSCI CSCD 北大核心 2013年第8期1635-1642,共8页 Resources Science
基金 国家自然科学基金:"气候框架公约下农业碳排放的增长机理及减排政策研究"(编号:71273105) 湖北省高等学校优秀中青年科技创新团队计划项目:"农业资源与环境经济问题研究"(编号:T201219) 中央高校基本科研业务费专项:"农业废弃物利用与产业可持续发展的联动机制研究"(编号:2012RW002)
关键词 生物质资源 减碳化利用 需求 TAM理论分析框架 SEM模型 湖北省 Biomass resources Low-carbon utilization Demand TAM theoretical framework SEM model Hubei
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